alt Hacker NewsLast weekend I was arguing with a friend that physical guitar pedals are better for creativity and exploration of the musical space than modelers even though modelers have way more resources for a fraction of the cost, the physical aspect of knobs and cables and everything else leads to something that's way more interactive and prone to "happy mistakes" than any digital interface can offer.
In my first year of college my calculus teacher said something that stuck with me "you learn calculus getting cramps on your wrists", yeah, AI can help remember things and accelerate learning, but if you don't put the work to understand things you'll always be behind people that know at least with a bird eye view what's happening.
> but if you don't put the work to understand things you'll always be behind people that know at least with a bird eye view what's happening.
Depends. You might end up going quite far without even opening up the hood of a car even when you drive the car everyday and depend on it for your livelihood.
If you're the kind that likes to argue for a good laugh, you might say "well, I don't need to know how my car works as long as the engineer who designed it does or the mechanic who fixes it does" - and this is accurate but it's also accurate not everyone ended up being either the engineer or the mechanic. It's also untrue that if it turned out it would be extremely valuable to you to actually learn how the car worked, you wouldn't put in the effort to do so and be very successful at it.
All this talk about "you should learn something deeply so you can bank on it when you will need it" seems to be a bit of a hoarding disorder.
Given the right materials, support and direction, most smart and motivated people can learn how to get competent at something that they had no clue about in the past.
When it comes to smart and motivated people, the best drop out of education because they find it unproductive and pedantic.